Project @BCG DV Hacks: Mobility
Möbius is a mobile app that uses Machine Learning to reward good driving behaviors with insurance discounts.
What I did: UI/UX & branding
Team Members: Ling Ye, Ziru Ling, Yifang Chen, Tianshu Cheng
Tons of car accidents are caused by distractions and drowsy drivings, which becomes a huge problem to both individuals and car insurance companies.
It is astonishing to see how much insurance companies can save if these accidents can be reduced, and if the high-risk user group of drivers can be segmented out.
And we might also be able to save lives.
Here’s the details of how Mobius works:
We incentivize drivers and provide benefits to insurance companies by:
Detect driver distraction/drowsiness
Create driver Risk Profile and share with insurance companies
By reducing overall cost for insurance companies, they will return by rewarding 15%-20% insurance discounts for drivers with good driving behaviors
Key Features (UI/UX)
Here are some key features of our App (designed by me):
First, facial recognition has to be enabled to detect driver behaviors.
When drivers start driving, Mobius will be running in the background, and will give reminders only when unsafe behaviors are detected.
We will also tell users that all video-streamed data are processed locally and will be deleted after processing, to enforce data-privacy.
Finally, we will inform drivers after the trip.
To make it clearer, here are some video demos of the process and technology behind.
(Did by Yifang Chen & Tianshu Cheng)
Here are the details of our business plan (did by Ling Ye):
Thanks so much to my team’s devotion and BCG DV mentors’ support for such an amazing experience!